Thirty years of machine learning: The road to Pareto-optimal wireless networks
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …
complex compelling applications both in military and civilian fields, where the users are able …
A GCICA grant-free random access scheme for M2M communications in crowded massive MIMO systems
H Han, L Fang, W Lu, W Zhai, Y Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
A novel grant-free random access scheme with a high success rate is proposed to support
massive access for machine-to-machine communications in massive multiple-input–multiple …
massive access for machine-to-machine communications in massive multiple-input–multiple …
A grant-free random access scheme for M2M communication in massive MIMO systems
H Han, Y Li, W Zhai, L Qian - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
A novel grant-free random access scheme is proposed to support massive connectivity with
low access delay and overhead for machine-to-machine communication in massive multiple …
low access delay and overhead for machine-to-machine communication in massive multiple …
An interference alignment and ICA-based semiblind dual-user downlink NOMA system for high-reliability low-latency IoT
An interference alignment (IA) and independent component analysis (ICA)-based semiblind
scheme, referred to as IA-ICA, is proposed for downlink dual-user power-domain …
scheme, referred to as IA-ICA, is proposed for downlink dual-user power-domain …
[PDF][PDF] Thirty years of machine learning: The road to pareto-optimal next-generation wireless networks
Next-generation wireless networks (NGWN) have a substantial potential in terms of
supporting a broad range of complex compelling applications both in military and civilian …
supporting a broad range of complex compelling applications both in military and civilian …
Single-Channel Blind Source Separation in Wireless Communications: A Complex-Domain Deep Learning Approach
P Guo, M Yu, L Shen, Z Lin, K An… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
The escalating crosstalk and interference in wireless services necessitate effective
techniques like single-channel blind source separation (SCBSS). Deep Learning (DL) has …
techniques like single-channel blind source separation (SCBSS). Deep Learning (DL) has …
Efficient enhanced K-means clustering for semi-blind channel estimation of cell-free massive MIMO
We propose an efficient enhanced K-means clustering (E-KMC) algorithm for semi-blind
channel estimation of uplink cell-free massive multiple-input multiple-output (MIMO) systems …
channel estimation of uplink cell-free massive multiple-input multiple-output (MIMO) systems …
Designing anti-jamming receivers for NR-DCSK systems utilizing ICA, WPD, and VMD methods
B Van Nguyen, MT Nguyen, H Jung… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this brief, we consider an advanced noise reduction differential chaotic shift keying system
in which a single antenna source communicates with a single antenna destination under the …
in which a single antenna source communicates with a single antenna destination under the …
Review on various detectors in massive MIMO technology: a performance analysis
Purpose Multiple-input multiple-output (MIMO) combined with multi-user massive MIMO has
been a well-known approach for high spectral efficiency in wideband systems, and it was …
been a well-known approach for high spectral efficiency in wideband systems, and it was …
Sparse ICA Based Semi-Blind Massive MIMO Channel Estimation without Prior Information of Inter-Cell Interference
Pilot contamination incurred by strong inter-cell interference seriously degrades the
performance of channel estimation in massive multi-input multi-output (MIMO) orthogonal …
performance of channel estimation in massive multi-input multi-output (MIMO) orthogonal …